Manzur Murshed

About

Dr. Manzur Murshed is a leading researcher whose work spans the transformative fields of swarm robotics, computer vision, and digital health. He is perhaps best known for his highly influential survey on search and tracking algorithms for robot swarms (183 citations), a seminal contribution that has guided a generation of researchers in multi-robot systems. In computer vision, Dr. Murshed has made foundational contributions to the analysis of dynamic and temporal textures, developing novel segmentation and feature-space mapping techniques critical for applications in robot navigation, traffic monitoring, and remote sensing. More recently, he has turned his expertise toward the future of healthcare, co-authoring a visionary 2023 paper that explores a new paradigm for digital health training in the context of the Fifth Industrial Revolution (49 citations). His work on efficient RGB-D pose estimation and depth-based planning for mobile robots further demonstrates his commitment to practical, computationally efficient solutions. Through this diverse body of work—ranging from theoretical foundations to applied systems—Dr. Murshed has established himself as a versatile and impactful figure, shaping how autonomous systems perceive, navigate, and collaborate.

Research Focus

Key Achievements

Top Papers

1. 1
   Search and tracking algorithms for swarms of robots: A survey

   183 citations · 2015
2. 2
   Towards a New Paradigm for Digital Health Training and Education in Australia: Exploring the Implication of the Fifth Industrial Revolution

   49 citations · 2023
3. 3
   An efficient RANSAC hypothesis evaluation using sufficient statistics for RGB-D pose estimation

   10 citations · 2018
4. 4
   Multiple temporal texture detection using feature space mapping

   5 citations · 2007
5. 5
   Segmentation of dynamic textures

   5 citations · 2007
6. 6
   Depth-based Sampling and Steering Constraints for Memoryless Local Planners

   2 citations · 2023

Key Collaborators

Contact & Links